Publicação:
Wavelets and decision trees for target detection over sea surface using cosmo-skymed SAR data

dc.contributor.authorPaes, Rafael L.
dc.contributor.authorPagamisse, Aylton [UNESP]
dc.contributor.institutionGeointelligence Division
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:26:05Z
dc.date.available2014-05-27T11:26:05Z
dc.date.issued2011-10-19
dc.description.abstractWe are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors while decision trees are able to handle different data sources. In addition, our work aims to consider oceanic features such as ship wakes and ocean spills. In this incipient work, Haar and Cohen-Daubechies-Feauveau 9/7 wavelets obtain detailed descriptors from targets and ocean features and are inserted with other statistical parameters and wavelets into an oblique decision tree. © 2011 Springer-Verlag.en
dc.description.affiliationInstitute of Advanced Studies IEAv Geointelligence Division, São José dos Campos
dc.description.affiliationSão Paulo State University UNESP, Presidente Prudente
dc.description.affiliationUnespSão Paulo State University UNESP, Presidente Prudente
dc.format.extent582-589
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-24082-9_71
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6935 LNCS, p. 582-589.
dc.identifier.doi10.1007/978-3-642-24082-9_71
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.lattes0304271846229471
dc.identifier.scopus2-s2.0-80054073905
dc.identifier.urihttp://hdl.handle.net/11449/72750
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartofsjr0,295
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectdecision trees
dc.subjectremote sensing
dc.subjectSAR
dc.subjecttarget detection
dc.subjectwavelets
dc.subjectData source
dc.subjectDescriptors
dc.subjectImage descriptors
dc.subjectMaritime surveillance
dc.subjectOblique decision tree
dc.subjectOcean feature
dc.subjectSAR data
dc.subjectSAR Images
dc.subjectSea surfaces
dc.subjectShip wakes
dc.subjectStatistical parameters
dc.subjectDecision trees
dc.subjectInformation technology
dc.subjectPlant extracts
dc.subjectRemote sensing
dc.subjectShips
dc.subjectTrees (mathematics)
dc.subjectDiscrete wavelet transforms
dc.titleWavelets and decision trees for target detection over sea surface using cosmo-skymed SAR dataen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights
dspace.entity.typePublication
unesp.author.lattes0304271846229471[2]
unesp.author.orcid0000-0002-8244-3168[2]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências e Tecnologia, Presidente Prudentept
unesp.departmentEstatística - FCTpt

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